Zusammenfassung
Machine Learning (ML) ist eine Form der künstlichen Intelligenz, die auch in der politischen Kommunikation verstärkt eingesetzt wird. Grund für ihre Popularität ist u. a. das Aufkommen großer Datenmengen (Big Data). Mit den Potenzialen der unterschiedlichen ML-Verfahren wie Supervised und Unsupervised Learning gehen aber unterschiedliche Probleme einher. In diesem Beitrag werden die in der politischen Kommunikationsforschung derzeit gängigsten ML-Verfahren (z. B. Topic Modeling, Sentiment Analyse), Datenquellen und Anwendungsbereiche skizziert und Trends in der methodischen Entwicklung aufgezeigt.
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Kelm, O., Gerl, K., Meißner, F. (2020). Machine Learning. In: Borucki, I., Kleinen-von Königslöw, K., Marschall, S., Zerback, T. (eds) Handbuch Politische Kommunikation. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-26242-6_55-1
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